Dataset statistics
| Number of variables | 28 |
|---|---|
| Number of observations | 1200 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 262.6 KiB |
| Average record size in memory | 224.1 B |
Variable types
| Categorical | 15 |
|---|---|
| Numeric | 11 |
| Boolean | 2 |
EmpNumber has a high cardinality: 1200 distinct values | High cardinality |
Age is highly correlated with TotalWorkExperienceInYears | High correlation |
EmpJobLevel is highly correlated with TotalWorkExperienceInYears | High correlation |
TotalWorkExperienceInYears is highly correlated with Age and 2 other fields | High correlation |
ExperienceYearsAtThisCompany is highly correlated with TotalWorkExperienceInYears and 3 other fields | High correlation |
ExperienceYearsInCurrentRole is highly correlated with ExperienceYearsAtThisCompany and 2 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
Age is highly correlated with EmpJobLevel and 1 other fields | High correlation |
EmpJobLevel is highly correlated with Age and 2 other fields | High correlation |
TotalWorkExperienceInYears is highly correlated with Age and 2 other fields | High correlation |
ExperienceYearsAtThisCompany is highly correlated with EmpJobLevel and 4 other fields | High correlation |
ExperienceYearsInCurrentRole is highly correlated with ExperienceYearsAtThisCompany and 2 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
EmpJobLevel is highly correlated with TotalWorkExperienceInYears | High correlation |
TotalWorkExperienceInYears is highly correlated with EmpJobLevel and 1 other fields | High correlation |
ExperienceYearsAtThisCompany is highly correlated with TotalWorkExperienceInYears and 2 other fields | High correlation |
ExperienceYearsInCurrentRole is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with ExperienceYearsAtThisCompany and 1 other fields | High correlation |
EmpJobRole is highly correlated with EmpDepartment | High correlation |
EmpDepartment is highly correlated with EmpJobRole | High correlation |
Age is highly correlated with EmpJobLevel and 2 other fields | High correlation |
EducationBackground is highly correlated with EmpDepartment and 1 other fields | High correlation |
EmpDepartment is highly correlated with EducationBackground and 1 other fields | High correlation |
EmpJobRole is highly correlated with EducationBackground and 3 other fields | High correlation |
EmpJobLevel is highly correlated with Age and 4 other fields | High correlation |
EmpLastSalaryHikePercent is highly correlated with PerformanceRating | High correlation |
TotalWorkExperienceInYears is highly correlated with Age and 6 other fields | High correlation |
ExperienceYearsAtThisCompany is highly correlated with Age and 5 other fields | High correlation |
ExperienceYearsInCurrentRole is highly correlated with EmpJobLevel and 4 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with TotalWorkExperienceInYears and 3 other fields | High correlation |
YearsWithCurrManager is highly correlated with TotalWorkExperienceInYears and 3 other fields | High correlation |
PerformanceRating is highly correlated with EmpLastSalaryHikePercent | High correlation |
EmpNumber is uniformly distributed | Uniform |
EmpNumber has unique values | Unique |
NumCompaniesWorked has 156 (13.0%) zeros | Zeros |
TrainingTimesLastYear has 44 (3.7%) zeros | Zeros |
ExperienceYearsAtThisCompany has 36 (3.0%) zeros | Zeros |
ExperienceYearsInCurrentRole has 190 (15.8%) zeros | Zeros |
YearsSinceLastPromotion has 469 (39.1%) zeros | Zeros |
YearsWithCurrManager has 215 (17.9%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-29 20:09:25.631659 |
|---|---|
| Analysis finished | 2021-11-29 20:09:54.798839 |
| Duration | 29.17 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 1200 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| E100523 | 1 |
|---|---|
| E100350 | 1 |
| E1002164 | 1 |
| E100540 | 1 |
| E100407 | 1 |
| Other values (1195) |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 7.6375 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1200 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | E1001000 |
|---|---|
| 2nd row | E1001006 |
| 3rd row | E1001007 |
| 4th row | E1001009 |
| 5th row | E1001010 |
Common Values
| Value | Count | Frequency (%) |
| E100523 | 1 | 0.1% |
| E100350 | 1 | 0.1% |
| E1002164 | 1 | 0.1% |
| E100540 | 1 | 0.1% |
| E100407 | 1 | 0.1% |
| E1001223 | 1 | 0.1% |
| E1002216 | 1 | 0.1% |
| E100456 | 1 | 0.1% |
| E100580 | 1 | 0.1% |
| E1001911 | 1 | 0.1% |
| Other values (1190) | 1190 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| e100523 | 1 | 0.1% |
| e100669 | 1 | 0.1% |
| e1001661 | 1 | 0.1% |
| e1001579 | 1 | 0.1% |
| e1001534 | 1 | 0.1% |
| e1001934 | 1 | 0.1% |
| e100759 | 1 | 0.1% |
| e1001686 | 1 | 0.1% |
| e1001713 | 1 | 0.1% |
| e1001499 | 1 | 0.1% |
| Other values (1190) | 1190 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 43 |
|---|---|
| Distinct (%) | 3.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.91833333 |
| Minimum | 18 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 30 |
| median | 36 |
| Q3 | 43 |
| 95-th percentile | 54 |
| Maximum | 60 |
| Range | 42 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.087288534 |
|---|---|
| Coefficient of variation (CV) | 0.2461456873 |
| Kurtosis | -0.4309995808 |
| Mean | 36.91833333 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.3841449591 |
| Sum | 44302 |
| Variance | 82.5788129 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 34 | 71 | 5.9% |
| 35 | 64 | 5.3% |
| 36 | 60 | 5.0% |
| 31 | 57 | 4.8% |
| 29 | 51 | 4.2% |
| 38 | 48 | 4.0% |
| 40 | 46 | 3.8% |
| 32 | 46 | 3.8% |
| 33 | 46 | 3.8% |
| 27 | 43 | 3.6% |
| Other values (33) | 668 |
| Value | Count | Frequency (%) |
| 18 | 8 | 0.7% |
| 19 | 8 | 0.7% |
| 20 | 6 | 0.5% |
| 21 | 11 | 0.9% |
| 22 | 15 | 1.2% |
| 23 | 9 | 0.8% |
| 24 | 20 | |
| 25 | 24 | |
| 26 | 33 | |
| 27 | 43 |
| Value | Count | Frequency (%) |
| 60 | 3 | 0.2% |
| 59 | 6 | 0.5% |
| 58 | 11 | |
| 57 | 4 | 0.3% |
| 56 | 11 | |
| 55 | 17 | |
| 54 | 16 | |
| 53 | 15 | |
| 52 | 15 | |
| 51 | 14 |
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.791666667 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Male |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 725 | |
| Female | 475 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 725 | |
| female | 475 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Life Sciences | |
|---|---|
| Medical | |
| Marketing | |
| Technical Degree | |
| Other |
Length
| Max length | 16 |
|---|---|
| Median length | 13 |
| Mean length | 10.46833333 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Marketing |
|---|---|
| 2nd row | Marketing |
| 3rd row | Life Sciences |
| 4th row | Human Resources |
| 5th row | Marketing |
Common Values
| Value | Count | Frequency (%) |
| Life Sciences | 492 | |
| Medical | 384 | |
| Marketing | 137 | 11.4% |
| Technical Degree | 100 | 8.3% |
| Other | 66 | 5.5% |
| Human Resources | 21 | 1.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| life | 492 | |
| sciences | 492 | |
| medical | 384 | |
| marketing | 137 | 7.6% |
| technical | 100 | 5.5% |
| degree | 100 | 5.5% |
| other | 66 | 3.6% |
| human | 21 | 1.2% |
| resources | 21 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
MaritalStatus
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Married | |
|---|---|
| Single | |
| Divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.903333333 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Single |
| 3rd row | Married |
| 4th row | Divorced |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Married | 548 | |
| Single | 384 | |
| Divorced | 268 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 548 | |
| single | 384 | |
| divorced | 268 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Sales | |
|---|---|
| Development | |
| Research & Development | |
| Human Resources | |
| Finance |
Length
| Max length | 22 |
|---|---|
| Median length | 11 |
| Mean length | 12.3125 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sales |
|---|---|
| 2nd row | Sales |
| 3rd row | Sales |
| 4th row | Human Resources |
| 5th row | Sales |
Common Values
| Value | Count | Frequency (%) |
| Sales | 373 | |
| Development | 361 | |
| Research & Development | 343 | |
| Human Resources | 54 | 4.5% |
| Finance | 49 | 4.1% |
| Data Science | 20 | 1.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| development | 704 | |
| sales | 373 | |
| research | 343 | |
| 343 | ||
| human | 54 | 2.8% |
| resources | 54 | 2.8% |
| finance | 49 | 2.5% |
| data | 20 | 1.0% |
| science | 20 | 1.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 19 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Sales Executive | |
|---|---|
| Developer | |
| Manager R&D | |
| Research Scientist | |
| Sales Representative | |
| Other values (14) |
Length
| Max length | 25 |
|---|---|
| Median length | 15 |
| Mean length | 14.545 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sales Executive |
|---|---|
| 2nd row | Sales Executive |
| 3rd row | Sales Executive |
| 4th row | Manager |
| 5th row | Sales Executive |
Common Values
| Value | Count | Frequency (%) |
| Sales Executive | 270 | |
| Developer | 236 | |
| Manager R&D | 94 | 7.8% |
| Research Scientist | 77 | 6.4% |
| Sales Representative | 69 | 5.8% |
| Laboratory Technician | 64 | 5.3% |
| Senior Developer | 52 | 4.3% |
| Manager | 51 | 4.2% |
| Finance Manager | 49 | 4.1% |
| Human Resources | 45 | 3.8% |
| Other values (9) | 193 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sales | 339 | |
| developer | 288 | |
| executive | 270 | |
| manager | 221 | |
| r&d | 109 | 5.1% |
| representative | 102 | 4.8% |
| scientist | 97 | 4.6% |
| research | 96 | 4.5% |
| senior | 67 | 3.1% |
| laboratory | 64 | 3.0% |
| Other values (14) | 475 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
BusinessTravelFrequency
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| Travel_Rarely | |
|---|---|
| Travel_Frequently | |
| Non-Travel |
Length
| Max length | 17 |
|---|---|
| Median length | 13 |
| Mean length | 13.41 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Travel_Rarely |
|---|---|
| 2nd row | Travel_Rarely |
| 3rd row | Travel_Frequently |
| 4th row | Travel_Rarely |
| 5th row | Travel_Rarely |
Common Values
| Value | Count | Frequency (%) |
| Travel_Rarely | 846 | |
| Travel_Frequently | 222 | 18.5% |
| Non-Travel | 132 | 11.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| travel_rarely | 846 | |
| travel_frequently | 222 | 18.5% |
| non-travel | 132 | 11.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DistanceFromHome
Real number (ℝ≥0)
| Distinct | 29 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.165833333 |
| Minimum | 1 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 14 |
| 95-th percentile | 26 |
| Maximum | 29 |
| Range | 28 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.176636256 |
|---|---|
| Coefficient of variation (CV) | 0.8920777804 |
| Kurtosis | -0.2420167764 |
| Mean | 9.165833333 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9629561161 |
| Sum | 10999 |
| Variance | 66.85738046 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 2 | 184 | |
| 1 | 170 | |
| 8 | 69 | 5.8% |
| 3 | 67 | 5.6% |
| 9 | 66 | 5.5% |
| 10 | 66 | 5.5% |
| 7 | 65 | 5.4% |
| 5 | 54 | 4.5% |
| 4 | 51 | 4.2% |
| 6 | 46 | 3.8% |
| Other values (19) | 362 |
| Value | Count | Frequency (%) |
| 1 | 170 | |
| 2 | 184 | |
| 3 | 67 | 5.6% |
| 4 | 51 | 4.2% |
| 5 | 54 | 4.5% |
| 6 | 46 | 3.8% |
| 7 | 65 | 5.4% |
| 8 | 69 | 5.8% |
| 9 | 66 | 5.5% |
| 10 | 66 | 5.5% |
| Value | Count | Frequency (%) |
| 29 | 23 | |
| 28 | 20 | |
| 27 | 9 | 0.8% |
| 26 | 22 | |
| 25 | 19 | |
| 24 | 23 | |
| 23 | 22 | |
| 22 | 17 | |
| 21 | 15 | |
| 20 | 19 |
EmpEducationLevel
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 | |
| 5 | 42 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 449 | |
| 4 | 322 | |
| 2 | 239 | |
| 1 | 148 | 12.3% |
| 5 | 42 | 3.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 449 | |
| 4 | 322 | |
| 2 | 239 | |
| 1 | 148 | 12.3% |
| 5 | 42 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
EmpEnvironmentSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 4 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 367 | |
| 4 | 361 | |
| 2 | 242 | |
| 1 | 230 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 367 | |
| 4 | 361 | |
| 2 | 242 | |
| 1 | 230 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
EmpHourlyRate
Real number (ℝ≥0)
| Distinct | 71 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.98166667 |
| Minimum | 30 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 33 |
| Q1 | 48 |
| median | 66 |
| Q3 | 83 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 70 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 20.2113024 |
|---|---|
| Coefficient of variation (CV) | 0.3063169425 |
| Kurtosis | -1.186890513 |
| Mean | 65.98166667 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | -0.03516488816 |
| Sum | 79178 |
| Variance | 408.4967445 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 79 | 25 | 2.1% |
| 66 | 25 | 2.1% |
| 42 | 24 | 2.0% |
| 57 | 23 | 1.9% |
| 46 | 23 | 1.9% |
| 92 | 22 | 1.8% |
| 96 | 22 | 1.8% |
| 72 | 22 | 1.8% |
| 45 | 22 | 1.8% |
| 43 | 21 | 1.8% |
| Other values (61) | 971 |
| Value | Count | Frequency (%) |
| 30 | 13 | |
| 31 | 13 | |
| 32 | 19 | |
| 33 | 16 | |
| 34 | 6 | 0.5% |
| 35 | 14 | |
| 36 | 17 | |
| 37 | 13 | |
| 38 | 10 | |
| 39 | 14 |
| Value | Count | Frequency (%) |
| 100 | 14 | |
| 99 | 19 | |
| 98 | 20 | |
| 97 | 18 | |
| 96 | 22 | |
| 95 | 17 | |
| 94 | 21 | |
| 93 | 13 | |
| 92 | 22 | |
| 91 | 14 |
EmpJobInvolvement
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 70 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 3 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 724 | |
| 2 | 294 | |
| 4 | 112 | 9.3% |
| 1 | 70 | 5.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 724 | |
| 2 | 294 | |
| 4 | 112 | 9.3% |
| 1 | 70 | 5.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 2 | |
|---|---|
| 1 | |
| 3 | |
| 4 | |
| 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 5 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 441 | |
| 1 | 440 | |
| 3 | 173 | 14.4% |
| 4 | 90 | 7.5% |
| 5 | 56 | 4.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 441 | |
| 1 | 440 | |
| 3 | 173 | 14.4% |
| 4 | 90 | 7.5% |
| 5 | 56 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
EmpJobSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 4 | |
|---|---|
| 3 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 4 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 378 | |
| 3 | 354 | |
| 2 | 237 | |
| 1 | 231 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 378 | |
| 3 | 354 | |
| 2 | 237 | |
| 1 | 231 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.665 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 156 |
| Zeros (%) | 13.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.46938384 |
|---|---|
| Coefficient of variation (CV) | 0.9265980636 |
| Kurtosis | 0.06886299539 |
| Mean | 2.665 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.048634755 |
| Sum | 3198 |
| Variance | 6.097856547 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 433 | |
| 0 | 156 | 13.0% |
| 3 | 133 | 11.1% |
| 2 | 123 | 10.2% |
| 4 | 107 | 8.9% |
| 7 | 60 | 5.0% |
| 6 | 56 | 4.7% |
| 5 | 53 | 4.4% |
| 8 | 40 | 3.3% |
| 9 | 39 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 156 | 13.0% |
| 1 | 433 | |
| 2 | 123 | 10.2% |
| 3 | 133 | 11.1% |
| 4 | 107 | 8.9% |
| 5 | 53 | 4.4% |
| 6 | 56 | 4.7% |
| 7 | 60 | 5.0% |
| 8 | 40 | 3.3% |
| 9 | 39 | 3.2% |
| Value | Count | Frequency (%) |
| 9 | 39 | 3.2% |
| 8 | 40 | 3.3% |
| 7 | 60 | 5.0% |
| 6 | 56 | 4.7% |
| 5 | 53 | 4.4% |
| 4 | 107 | 8.9% |
| 3 | 133 | 11.1% |
| 2 | 123 | 10.2% |
| 1 | 433 | |
| 0 | 156 | 13.0% |
OverTime
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 847 | |
| True | 353 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.2225 |
| Minimum | 11 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 12 |
| median | 14 |
| Q3 | 18 |
| 95-th percentile | 22 |
| Maximum | 25 |
| Range | 14 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.62591825 |
|---|---|
| Coefficient of variation (CV) | 0.2381946625 |
| Kurtosis | -0.2997407754 |
| Mean | 15.2225 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.8086536332 |
| Sum | 18267 |
| Variance | 13.14728315 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 14 | 172 | |
| 11 | 169 | |
| 13 | 168 | |
| 12 | 155 | |
| 15 | 82 | |
| 18 | 73 | |
| 16 | 68 | 5.7% |
| 17 | 67 | 5.6% |
| 19 | 63 | 5.2% |
| 20 | 50 | 4.2% |
| Other values (5) | 133 |
| Value | Count | Frequency (%) |
| 11 | 169 | |
| 12 | 155 | |
| 13 | 168 | |
| 14 | 172 | |
| 15 | 82 | |
| 16 | 68 | 5.7% |
| 17 | 67 | 5.6% |
| 18 | 73 | |
| 19 | 63 | 5.2% |
| 20 | 50 | 4.2% |
| Value | Count | Frequency (%) |
| 25 | 13 | 1.1% |
| 24 | 18 | 1.5% |
| 23 | 21 | 1.8% |
| 22 | 47 | |
| 21 | 34 | |
| 20 | 50 | |
| 19 | 63 | |
| 18 | 73 | |
| 17 | 67 | |
| 16 | 68 |
EmpRelationshipSatisfaction
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 379 | |
| 4 | 355 | |
| 2 | 247 | |
| 1 | 219 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 379 | |
| 4 | 355 | |
| 2 | 247 | |
| 1 | 219 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
TotalWorkExperienceInYears
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 40 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.33 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 10 |
| Zeros (%) | 0.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 28 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.797227967 |
|---|---|
| Coefficient of variation (CV) | 0.6881931127 |
| Kurtosis | 0.8056333334 |
| Mean | 11.33 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.08686186 |
| Sum | 13596 |
| Variance | 60.79676397 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 10 | 159 | 13.2% |
| 6 | 105 | 8.8% |
| 8 | 85 | 7.1% |
| 9 | 77 | 6.4% |
| 5 | 71 | 5.9% |
| 1 | 65 | 5.4% |
| 7 | 61 | 5.1% |
| 4 | 51 | 4.2% |
| 12 | 37 | 3.1% |
| 15 | 34 | 2.8% |
| Other values (30) | 455 |
| Value | Count | Frequency (%) |
| 0 | 10 | 0.8% |
| 1 | 65 | |
| 2 | 26 | 2.2% |
| 3 | 34 | 2.8% |
| 4 | 51 | |
| 5 | 71 | |
| 6 | 105 | |
| 7 | 61 | |
| 8 | 85 | |
| 9 | 77 |
| Value | Count | Frequency (%) |
| 40 | 1 | 0.1% |
| 38 | 1 | 0.1% |
| 37 | 3 | 0.2% |
| 36 | 4 | |
| 35 | 2 | 0.2% |
| 34 | 5 | |
| 33 | 7 | |
| 32 | 8 | |
| 31 | 7 | |
| 30 | 5 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.785833333 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 44 |
| Zeros (%) | 3.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.263446168 |
|---|---|
| Coefficient of variation (CV) | 0.4535253968 |
| Kurtosis | 0.5675310331 |
| Mean | 2.785833333 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5320731986 |
| Sum | 3343 |
| Variance | 1.596296219 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 445 | |
| 3 | 413 | |
| 4 | 98 | 8.2% |
| 5 | 98 | 8.2% |
| 1 | 56 | 4.7% |
| 6 | 46 | 3.8% |
| 0 | 44 | 3.7% |
| Value | Count | Frequency (%) |
| 0 | 44 | 3.7% |
| 1 | 56 | 4.7% |
| 2 | 445 | |
| 3 | 413 | |
| 4 | 98 | 8.2% |
| 5 | 98 | 8.2% |
| 6 | 46 | 3.8% |
| Value | Count | Frequency (%) |
| 6 | 46 | 3.8% |
| 5 | 98 | 8.2% |
| 4 | 98 | 8.2% |
| 3 | 413 | |
| 2 | 445 | |
| 1 | 56 | 4.7% |
| 0 | 44 | 3.7% |
EmpWorkLifeBalance
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 64 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 727 | |
| 2 | 294 | |
| 4 | 115 | 9.6% |
| 1 | 64 | 5.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 727 | |
| 2 | 294 | |
| 4 | 115 | 9.6% |
| 1 | 64 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
ExperienceYearsAtThisCompany
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 37 |
|---|---|
| Distinct (%) | 3.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.0775 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 36 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 10 |
| 95-th percentile | 20 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 6.23689903 |
|---|---|
| Coefficient of variation (CV) | 0.8812291105 |
| Kurtosis | 4.057959404 |
| Mean | 7.0775 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.78905498 |
| Sum | 8493 |
| Variance | 38.89890951 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 5 | 152 | |
| 1 | 138 | |
| 2 | 107 | |
| 3 | 105 | |
| 10 | 100 | |
| 4 | 88 | 7.3% |
| 7 | 73 | 6.1% |
| 9 | 66 | 5.5% |
| 6 | 66 | 5.5% |
| 8 | 63 | 5.2% |
| Other values (27) | 242 |
| Value | Count | Frequency (%) |
| 0 | 36 | 3.0% |
| 1 | 138 | |
| 2 | 107 | |
| 3 | 105 | |
| 4 | 88 | |
| 5 | 152 | |
| 6 | 66 | |
| 7 | 73 | |
| 8 | 63 | |
| 9 | 66 |
| Value | Count | Frequency (%) |
| 40 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| 36 | 2 | 0.2% |
| 34 | 1 | 0.1% |
| 33 | 5 | |
| 32 | 3 | |
| 31 | 2 | 0.2% |
| 30 | 1 | 0.1% |
| 29 | 2 | 0.2% |
| 27 | 2 | 0.2% |
ExperienceYearsInCurrentRole
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 19 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.291666667 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 190 |
| Zeros (%) | 15.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.613744113 |
|---|---|
| Coefficient of variation (CV) | 0.8420374631 |
| Kurtosis | 0.4380286874 |
| Mean | 4.291666667 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.8881586703 |
| Sum | 5150 |
| Variance | 13.05914651 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2 | 303 | |
| 0 | 190 | |
| 7 | 176 | |
| 3 | 107 | 8.9% |
| 4 | 92 | 7.7% |
| 8 | 78 | 6.5% |
| 9 | 63 | 5.2% |
| 1 | 46 | 3.8% |
| 6 | 30 | 2.5% |
| 5 | 29 | 2.4% |
| Other values (9) | 86 | 7.2% |
| Value | Count | Frequency (%) |
| 0 | 190 | |
| 1 | 46 | 3.8% |
| 2 | 303 | |
| 3 | 107 | 8.9% |
| 4 | 92 | 7.7% |
| 5 | 29 | 2.4% |
| 6 | 30 | 2.5% |
| 7 | 176 | |
| 8 | 78 | 6.5% |
| 9 | 63 | 5.2% |
| Value | Count | Frequency (%) |
| 18 | 2 | 0.2% |
| 17 | 3 | 0.2% |
| 16 | 7 | 0.6% |
| 15 | 4 | 0.3% |
| 14 | 10 | 0.8% |
| 13 | 10 | 0.8% |
| 12 | 7 | 0.6% |
| 11 | 18 | 1.5% |
| 10 | 25 | 2.1% |
| 9 | 63 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.194166667 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 469 |
| Zeros (%) | 39.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 10 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.221559873 |
|---|---|
| Coefficient of variation (CV) | 1.468238453 |
| Kurtosis | 3.539080079 |
| Mean | 2.194166667 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.974931559 |
| Sum | 2633 |
| Variance | 10.37844801 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 469 | |
| 1 | 297 | |
| 2 | 127 | 10.6% |
| 7 | 62 | 5.2% |
| 4 | 53 | 4.4% |
| 3 | 45 | 3.8% |
| 5 | 35 | 2.9% |
| 6 | 24 | 2.0% |
| 11 | 23 | 1.9% |
| 9 | 16 | 1.3% |
| Other values (6) | 49 | 4.1% |
| Value | Count | Frequency (%) |
| 0 | 469 | |
| 1 | 297 | |
| 2 | 127 | 10.6% |
| 3 | 45 | 3.8% |
| 4 | 53 | 4.4% |
| 5 | 35 | 2.9% |
| 6 | 24 | 2.0% |
| 7 | 62 | 5.2% |
| 8 | 11 | 0.9% |
| 9 | 16 | 1.3% |
| Value | Count | Frequency (%) |
| 15 | 11 | 0.9% |
| 14 | 5 | 0.4% |
| 13 | 8 | 0.7% |
| 12 | 9 | 0.8% |
| 11 | 23 | 1.9% |
| 10 | 5 | 0.4% |
| 9 | 16 | 1.3% |
| 8 | 11 | 0.9% |
| 7 | 62 | |
| 6 | 24 | 2.0% |
YearsWithCurrManager
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 18 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.105 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 215 |
| Zeros (%) | 17.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 9.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.54157601 |
|---|---|
| Coefficient of variation (CV) | 0.8627468964 |
| Kurtosis | 0.1482016446 |
| Mean | 4.105 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.8131582958 |
| Sum | 4926 |
| Variance | 12.54276063 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 281 | |
| 0 | 215 | |
| 7 | 176 | |
| 3 | 103 | 8.6% |
| 8 | 87 | 7.2% |
| 4 | 85 | 7.1% |
| 1 | 67 | 5.6% |
| 9 | 53 | 4.4% |
| 6 | 28 | 2.3% |
| 5 | 26 | 2.2% |
| Other values (8) | 79 | 6.6% |
| Value | Count | Frequency (%) |
| 0 | 215 | |
| 1 | 67 | 5.6% |
| 2 | 281 | |
| 3 | 103 | 8.6% |
| 4 | 85 | 7.1% |
| 5 | 26 | 2.2% |
| 6 | 28 | 2.3% |
| 7 | 176 | |
| 8 | 87 | 7.2% |
| 9 | 53 | 4.4% |
| Value | Count | Frequency (%) |
| 17 | 6 | 0.5% |
| 16 | 2 | 0.2% |
| 15 | 3 | 0.2% |
| 14 | 2 | 0.2% |
| 13 | 10 | 0.8% |
| 12 | 14 | 1.2% |
| 11 | 20 | 1.7% |
| 10 | 22 | 1.8% |
| 9 | 53 | |
| 8 | 87 |
Attrition
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 1022 | |
| True | 178 | 14.8% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.5 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 3 |
| 3rd row | 4 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 874 | |
| 2 | 194 | 16.2% |
| 4 | 132 | 11.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 874 | |
| 2 | 194 | 16.2% |
| 4 | 132 | 11.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| EmpNumber | Age | Gender | EducationBackground | MaritalStatus | EmpDepartment | EmpJobRole | BusinessTravelFrequency | DistanceFromHome | EmpEducationLevel | EmpEnvironmentSatisfaction | EmpHourlyRate | EmpJobInvolvement | EmpJobLevel | EmpJobSatisfaction | NumCompaniesWorked | OverTime | EmpLastSalaryHikePercent | EmpRelationshipSatisfaction | TotalWorkExperienceInYears | TrainingTimesLastYear | EmpWorkLifeBalance | ExperienceYearsAtThisCompany | ExperienceYearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | Attrition | PerformanceRating | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | E1001000 | 32 | Male | Marketing | Single | Sales | Sales Executive | Travel_Rarely | 10 | 3 | 4 | 55 | 3 | 2 | 4 | 1 | No | 12 | 4 | 10 | 2 | 2 | 10 | 7 | 0 | 8 | No | 3 |
| 1 | E1001006 | 47 | Male | Marketing | Single | Sales | Sales Executive | Travel_Rarely | 14 | 4 | 4 | 42 | 3 | 2 | 1 | 2 | No | 12 | 4 | 20 | 2 | 3 | 7 | 7 | 1 | 7 | No | 3 |
| 2 | E1001007 | 40 | Male | Life Sciences | Married | Sales | Sales Executive | Travel_Frequently | 5 | 4 | 4 | 48 | 2 | 3 | 1 | 5 | Yes | 21 | 3 | 20 | 2 | 3 | 18 | 13 | 1 | 12 | No | 4 |
| 3 | E1001009 | 41 | Male | Human Resources | Divorced | Human Resources | Manager | Travel_Rarely | 10 | 4 | 2 | 73 | 2 | 5 | 4 | 3 | No | 15 | 2 | 23 | 2 | 2 | 21 | 6 | 12 | 6 | No | 3 |
| 4 | E1001010 | 60 | Male | Marketing | Single | Sales | Sales Executive | Travel_Rarely | 16 | 4 | 1 | 84 | 3 | 2 | 1 | 8 | No | 14 | 4 | 10 | 1 | 3 | 2 | 2 | 2 | 2 | No | 3 |
| 5 | E1001011 | 27 | Male | Life Sciences | Divorced | Development | Developer | Travel_Frequently | 10 | 2 | 4 | 32 | 3 | 3 | 1 | 1 | No | 21 | 3 | 9 | 4 | 2 | 9 | 7 | 1 | 7 | No | 4 |
| 6 | E1001016 | 50 | Male | Marketing | Married | Sales | Sales Representative | Travel_Rarely | 8 | 4 | 4 | 54 | 3 | 1 | 2 | 7 | No | 15 | 4 | 4 | 2 | 3 | 2 | 2 | 2 | 2 | No | 3 |
| 7 | E1001019 | 28 | Female | Life Sciences | Single | Development | Developer | Travel_Rarely | 1 | 2 | 1 | 67 | 1 | 1 | 2 | 7 | Yes | 13 | 4 | 10 | 4 | 3 | 7 | 7 | 3 | 7 | Yes | 3 |
| 8 | E1001020 | 36 | Female | Life Sciences | Married | Development | Developer | Non-Travel | 8 | 3 | 1 | 63 | 4 | 3 | 1 | 9 | No | 14 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 | No | 3 |
| 9 | E1001021 | 38 | Female | Life Sciences | Single | Development | Developer | Travel_Rarely | 1 | 3 | 3 | 81 | 3 | 3 | 3 | 4 | Yes | 14 | 4 | 10 | 4 | 4 | 1 | 0 | 0 | 0 | No | 3 |
Last rows
| EmpNumber | Age | Gender | EducationBackground | MaritalStatus | EmpDepartment | EmpJobRole | BusinessTravelFrequency | DistanceFromHome | EmpEducationLevel | EmpEnvironmentSatisfaction | EmpHourlyRate | EmpJobInvolvement | EmpJobLevel | EmpJobSatisfaction | NumCompaniesWorked | OverTime | EmpLastSalaryHikePercent | EmpRelationshipSatisfaction | TotalWorkExperienceInYears | TrainingTimesLastYear | EmpWorkLifeBalance | ExperienceYearsAtThisCompany | ExperienceYearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | Attrition | PerformanceRating | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1190 | E100983 | 23 | Male | Medical | Married | Development | Developer | Travel_Rarely | 4 | 3 | 1 | 58 | 4 | 1 | 1 | 2 | No | 16 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 | No | 4 |
| 1191 | E100985 | 25 | Male | Life Sciences | Married | Sales | Sales Executive | Travel_Rarely | 8 | 3 | 4 | 57 | 4 | 2 | 2 | 0 | No | 22 | 3 | 4 | 4 | 3 | 3 | 2 | 1 | 2 | No | 4 |
| 1192 | E100987 | 38 | Female | Marketing | Single | Sales | Sales Executive | Travel_Rarely | 7 | 4 | 4 | 46 | 2 | 2 | 4 | 0 | No | 20 | 1 | 8 | 2 | 3 | 7 | 7 | 0 | 5 | No | 4 |
| 1193 | E100988 | 29 | Male | Life Sciences | Divorced | Development | Developer | Travel_Frequently | 1 | 4 | 2 | 76 | 1 | 1 | 4 | 1 | No | 18 | 4 | 10 | 5 | 3 | 10 | 7 | 2 | 8 | No | 3 |
| 1194 | E100990 | 48 | Male | Marketing | Married | Sales | Sales Executive | Travel_Rarely | 2 | 1 | 2 | 56 | 4 | 2 | 2 | 3 | No | 12 | 4 | 12 | 3 | 3 | 2 | 2 | 2 | 2 | No | 3 |
| 1195 | E100992 | 27 | Female | Medical | Divorced | Sales | Sales Executive | Travel_Frequently | 3 | 1 | 4 | 71 | 4 | 2 | 4 | 1 | Yes | 20 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 | No | 4 |
| 1196 | E100993 | 37 | Male | Life Sciences | Single | Development | Senior Developer | Travel_Rarely | 10 | 2 | 4 | 80 | 4 | 1 | 4 | 3 | No | 17 | 1 | 4 | 2 | 3 | 1 | 0 | 0 | 0 | No | 3 |
| 1197 | E100994 | 50 | Male | Medical | Married | Development | Senior Developer | Travel_Rarely | 28 | 1 | 4 | 74 | 4 | 1 | 3 | 1 | Yes | 11 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 | No | 3 |
| 1198 | E100995 | 34 | Female | Medical | Single | Data Science | Data Scientist | Travel_Rarely | 9 | 3 | 4 | 46 | 2 | 3 | 2 | 1 | No | 14 | 2 | 9 | 3 | 4 | 8 | 7 | 7 | 7 | No | 3 |
| 1199 | E100998 | 24 | Female | Life Sciences | Single | Sales | Sales Executive | Travel_Rarely | 3 | 2 | 1 | 65 | 3 | 2 | 3 | 9 | No | 14 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 0 | Yes | 2 |